view article Article From Zero to GPU: A Guide to Building and Scaling Production-Ready CUDA Kernels By drbh and 1 other • 3 days ago • 32
Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning Paper • 2508.08221 • Published 10 days ago • 39
Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos Paper • 2507.15597 • Published about 1 month ago • 33
Pixels, Patterns, but No Poetry: To See The World like Humans Paper • 2507.16863 • Published about 1 month ago • 68
Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities Paper • 2507.13158 • Published Jul 17 • 24
SeC: Advancing Complex Video Object Segmentation via Progressive Concept Construction Paper • 2507.15852 • Published about 1 month ago • 38
Coding Triangle: How Does Large Language Model Understand Code? Paper • 2507.06138 • Published Jul 8 • 20
Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning Paper • 2507.00432 • Published Jul 1 • 73
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models Paper • 2506.06395 • Published Jun 5 • 129
One RL to See Them All: Visual Triple Unified Reinforcement Learning Paper • 2505.18129 • Published May 23 • 60
BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset Paper • 2505.09568 • Published May 14 • 97